Become a sponsor to Antonio Carlos Senra Filho
Support acsenrafilho's open source work
I am passionate about leveraging cutting-edge technology to make a tangible impact in healthcare. My work focuses on processing biomedical data for tasks such as disease classification, lesion segmentation, and developing algorithmic tools that assist in medical decision-making.
Through my open-source projects, I aim to bridge the gap between technology and medicine by improving Machine Learning (ML), Deep Learning (DL), and Artificial Intelligence (AI) applications in healthcare. These tools are designed to enhance diagnostic accuracy, streamline workflows, and ultimately improve patient outcomes.
Your support will allow me to dedicate more time and resources to these projects, enabling continuous innovation and the development of impactful solutions. Contributions help cover essential costs such as computational resources, data storage, and the development of high-quality, accessible code for the community.
By sponsoring my work, you are directly contributing to the advancement of AI in healthcare, supporting projects that have the potential to transform lives. Thank you for being part of this journey! Together, we can push the boundaries of what technology can achieve in medicine.
Reaching this goal will help cover the essential expenses needed to maintain and improve my open-source projects. These costs include hosting services, development tools, and the time and effort I dedicate to ensuring the projects remain useful and accessible to the community. Your support, no matter the amount, plays a vital role in keeping these initiatives alive and growing. Thank you for considering contributing to my work—it truly makes a difference!
Featured work
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CSIM-Toolkits/Slicer-LesionSpotlightExtension
3D Slicer extension that provides T2-FLAIR MRI manipulation methods in order to increase contrast and segment hyperintense Multiple Sclerosis lesions
Python 2 -
CSIM-Toolkits/AnomalousFiltersExtension
3D Slicer extension that provides several approaches in order to apply the anomalous spatial filters on medical images.
C++ -
CSIM-Toolkits/SlicerDiffusionComplexityMap
Slice module to offer the Diffusion Complexity Map algorithm
C++ -
LOAMRI/Slicer-ASLtoolkit
Slicer extension that applies image processing techniques for Arterial Spin Labeling (ASL) MRI protocols
Python -
LOAMRI/asltk
The Arterial Spin Labeling (ASL) toolkit offer a general imaging processing api for ASL MRI techniques.
Python -
acsenrafilho/cucaracha
A bureaucratic cockroach (cucaracha) assistent to help in document processing and analysis
Python 1